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| author | Reynold Xin <rxin@apache.org> | 2014-06-25 01:01:23 -0700 |
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| committer | Reynold Xin <rxin@apache.org> | 2014-06-25 01:01:23 -0700 |
| commit | ac06a85da59db8f2654cdf6601d186348da09c01 (patch) | |
| tree | c71cc65e5b6d8a358e7d62932831c365aea2852c /docs | |
| parent | acc01ab3265c317f36a4fca28d3b9d72b0096c12 (diff) | |
| download | spark-ac06a85da59db8f2654cdf6601d186348da09c01.tar.gz spark-ac06a85da59db8f2654cdf6601d186348da09c01.tar.bz2 spark-ac06a85da59db8f2654cdf6601d186348da09c01.zip | |
Replace doc reference to Shark with Spark SQL.
Diffstat (limited to 'docs')
| -rw-r--r-- | docs/index.md | 5 |
1 files changed, 2 insertions, 3 deletions
diff --git a/docs/index.md b/docs/index.md index 1a4ff3dbf5..4ac0982ae5 100644 --- a/docs/index.md +++ b/docs/index.md @@ -6,7 +6,7 @@ title: Spark Overview Apache Spark is a fast and general-purpose cluster computing system. It provides high-level APIs in Java, Scala and Python, and an optimized engine that supports general execution graphs. -It also supports a rich set of higher-level tools including [Shark](http://shark.cs.berkeley.edu) (Hive on Spark), [Spark SQL](sql-programming-guide.html) for structured data, [MLlib](mllib-guide.html) for machine learning, [GraphX](graphx-programming-guide.html) for graph processing, and [Spark Streaming](streaming-programming-guide.html). +It also supports a rich set of higher-level tools including [Spark SQL](sql-programming-guide.html) for SQL and structured data processing, [MLlib](mllib-guide.html) for machine learning, [GraphX](graphx-programming-guide.html) for graph processing, and [Spark Streaming](streaming-programming-guide.html). # Downloading @@ -109,10 +109,9 @@ options for deployment: **External Resources:** * [Spark Homepage](http://spark.apache.org) -* [Shark](http://shark.cs.berkeley.edu): Apache Hive over Spark * [Mailing Lists](http://spark.apache.org/mailing-lists.html): ask questions about Spark here * [AMP Camps](http://ampcamp.berkeley.edu/): a series of training camps at UC Berkeley that featured talks and - exercises about Spark, Shark, Spark Streaming, Mesos, and more. [Videos](http://ampcamp.berkeley.edu/3/), + exercises about Spark, Spark Streaming, Mesos, and more. [Videos](http://ampcamp.berkeley.edu/3/), [slides](http://ampcamp.berkeley.edu/3/) and [exercises](http://ampcamp.berkeley.edu/3/exercises/) are available online for free. * [Code Examples](http://spark.apache.org/examples.html): more are also available in the `examples` subfolder of Spark ([Scala]({{site.SPARK_GITHUB_URL}}/tree/master/examples/src/main/scala/org/apache/spark/examples), |